{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 生成验证码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f313c2cd690>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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q87uz/x70z/KmG78mtM/NLV74/eYbHx+mPfLqw6H96EddGdpjDf0oNffdIPNa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\nDmk39F3Z9RM7/ZH0BG1czP1N9ftfVvYy9sOPpK9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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f313e5ffd90>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 203,
       "width": 369
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from captcha.image import ImageCaptcha\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import random\n",
    "\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "import string\n",
    "characters = string.digits + string.ascii_uppercase\n",
    "print(characters)\n",
    "\n",
    "width, height, n_len, n_class = 170, 80, 4, len(characters)+1\n",
    "\n",
    "generator = ImageCaptcha(width=width, height=height)\n",
    "random_str = ''.join([random.choice(characters) for j in range(4)])\n",
    "img = generator.generate_image(random_str)\n",
    "\n",
    "plt.imshow(img)\n",
    "plt.title(random_str)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 定义 CTC Loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "from keras import backend as K\n",
    "\n",
    "def ctc_lambda_func(args):\n",
    "    y_pred, labels, input_length, label_length = args\n",
    "    y_pred = y_pred[:, 2:, :]\n",
    "    return K.ctc_batch_cost(labels, y_pred, input_length, label_length)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 构建模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "([None, 17, 6, 128], 17, 768)\n"
     ]
    }
   ],
   "source": [
    "from keras.models import *\n",
    "from keras.layers import *\n",
    "from keras.optimizers import *\n",
    "rnn_size = 128\n",
    "\n",
    "input_tensor = Input((width, height, 3))\n",
    "x = input_tensor\n",
    "x = Lambda(lambda x:(x-127.5)/127.5)(x)\n",
    "for i in range(3):\n",
    "    for j in range(2):\n",
    "        x = Conv2D(32*2**i, 3, kernel_initializer='he_uniform')(x)\n",
    "        x = BatchNormalization()(x)\n",
    "        x = Activation('relu')(x)\n",
    "    x = MaxPooling2D((2, 2))(x)\n",
    "\n",
    "conv_shape = x.get_shape().as_list()\n",
    "rnn_length = conv_shape[1]\n",
    "rnn_dimen = conv_shape[2]*conv_shape[3]\n",
    "print(conv_shape, rnn_length, rnn_dimen)\n",
    "x = Reshape(target_shape=(rnn_length, rnn_dimen))(x)\n",
    "rnn_length -= 2\n",
    "\n",
    "x = Dense(rnn_size, kernel_initializer='he_uniform')(x)\n",
    "x = BatchNormalization()(x)\n",
    "x = Activation('relu')(x)\n",
    "x = Dropout(0.2)(x)\n",
    "\n",
    "gru_1 = GRU(rnn_size, return_sequences=True, kernel_initializer='he_uniform', name='gru1')(x)\n",
    "gru_1b = GRU(rnn_size, return_sequences=True, kernel_initializer='he_uniform', \n",
    "             go_backwards=True, name='gru1_b')(x)\n",
    "x = add([gru_1, gru_1b])\n",
    "\n",
    "gru_2 = GRU(rnn_size, return_sequences=True, kernel_initializer='he_uniform', name='gru2')(x)\n",
    "gru_2b = GRU(rnn_size, return_sequences=True, kernel_initializer='he_uniform', \n",
    "             go_backwards=True, name='gru2_b')(x)\n",
    "x = concatenate([gru_2, gru_2b])\n",
    "\n",
    "x = Dropout(0.2)(x)\n",
    "x = Dense(n_class, activation='softmax')(x)\n",
    "base_model = Model(inputs=input_tensor, outputs=x)\n",
    "\n",
    "labels = Input(name='the_labels', shape=[n_len], dtype='float32')\n",
    "input_length = Input(name='input_length', shape=[1], dtype='int64')\n",
    "label_length = Input(name='label_length', shape=[1], dtype='int64')\n",
    "loss_out = Lambda(ctc_lambda_func, output_shape=(1,), \n",
    "                  name='ctc')([x, labels, input_length, label_length])\n",
    "\n",
    "model = Model(inputs=[input_tensor, labels, input_length, label_length], outputs=[loss_out])\n",
    "model.compile(loss={'ctc': lambda y_true, y_pred: y_pred}, optimizer='adam')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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5cvF0Js2LChmo1IJk6cmJeX5+jo+Kxn9V+xsbFt2rR50hE9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\nXi+lmYNUldU3hRBmZmZKpbKsrCw8PNzAwEAI4e7uHhUVtXPnTumDp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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from keras.utils.vis_utils import plot_model\n",
    "from IPython.display import Image\n",
    "\n",
    "plot_model(model, to_file=\"model.png\", show_shapes=True)\n",
    "Image('model.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def gen(batch_size=128):\n",
    "    X = np.zeros((batch_size, width, height, 3), dtype=np.uint8)\n",
    "    y = np.zeros((batch_size, n_len), dtype=np.uint8)\n",
    "    generator = ImageCaptcha(width=width, height=height)\n",
    "    while True:\n",
    "        for i in range(batch_size):\n",
    "            random_str = ''.join([random.choice(characters) for j in range(n_len)])\n",
    "            X[i] = np.array(generator.generate_image(random_str)).transpose(1, 0, 2)\n",
    "            y[i] = [characters.find(x) for x in random_str]\n",
    "        yield [X, y, np.ones(batch_size)*rnn_length, np.ones(batch_size)*n_len], np.ones(batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "((1, 170, 80, 3), array([[12,  1,  8,  7]], dtype=uint8), array([ 15.]), array([ 4.]))\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f31555265d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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31L2/z4y/+/LbmrNgwDLCEXEAAAAgAQzEAQAAgAQQTanh/yU6WnaXtI8uelLn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\nBgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3174f7fd50>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 203,
       "width": 369
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(X_vis, y_vis, input_length_vis, label_length_vis), _ = next(gen(1))\n",
    "print(X_vis.shape, y_vis, input_length_vis, label_length_vis)\n",
    "\n",
    "plt.imshow(X_vis[0].transpose(1, 0, 2))\n",
    "plt.title(''.join([characters[i] for i in y_vis[0]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def evaluate(batch_size=128, steps=10):\n",
    "    batch_acc = 0\n",
    "    generator = gen(batch_size)\n",
    "    for i in range(steps):\n",
    "        [X_test, y_test, _, _], _  = next(generator)\n",
    "        y_pred = base_model.predict(X_test)\n",
    "        shape = y_pred[:,2:,:].shape\n",
    "        ctc_decode = K.ctc_decode(y_pred[:,2:,:], input_length=np.ones(shape[0])*shape[1])[0][0]\n",
    "        out = K.get_value(ctc_decode)[:, :n_len]\n",
    "        if out.shape[1] == n_len:\n",
    "            batch_acc += (y_test == out).all(axis=1).mean()\n",
    "    return batch_acc / steps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from keras.callbacks import *\n",
    "\n",
    "class Evaluator(Callback):\n",
    "    def __init__(self):\n",
    "        self.accs = []\n",
    "    \n",
    "    def on_epoch_end(self, epoch, logs=None):\n",
    "        acc = evaluate(steps=20)*100\n",
    "        self.accs.append(acc)\n",
    "        print('')\n",
    "        print('acc: %f%%' % acc)\n",
    "\n",
    "evaluator = Evaluator()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 5.0689\n",
      "acc: 68.984375%\n",
      "400/400 [==============================] - 125s - loss: 5.0581 - val_loss: 1.4271\n",
      "Epoch 2/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.4020\n",
      "acc: 72.343750%\n",
      "400/400 [==============================] - 120s - loss: 0.4016 - val_loss: 1.2555\n",
      "Epoch 3/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.3102\n",
      "acc: 90.312500%\n",
      "400/400 [==============================] - 120s - loss: 0.3098 - val_loss: 0.4019\n",
      "Epoch 4/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.2906\n",
      "acc: 95.078125%\n",
      "400/400 [==============================] - 121s - loss: 0.2902 - val_loss: 0.2684\n",
      "Epoch 5/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.2452\n",
      "acc: 94.609375%\n",
      "400/400 [==============================] - 120s - loss: 0.2454 - val_loss: 0.2778\n",
      "Epoch 6/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.3524\n",
      "acc: 93.710938%\n",
      "400/400 [==============================] - 122s - loss: 0.3520 - val_loss: 0.2363\n",
      "Epoch 7/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.2301\n",
      "acc: 96.054688%\n",
      "400/400 [==============================] - 121s - loss: 0.2308 - val_loss: 0.1361\n",
      "Epoch 8/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.2118\n",
      "acc: 96.679688%\n",
      "400/400 [==============================] - 121s - loss: 0.2115 - val_loss: 0.1726\n",
      "Epoch 9/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.2637\n",
      "acc: 96.835938%\n",
      "400/400 [==============================] - 122s - loss: 0.2633 - val_loss: 0.2600\n",
      "Epoch 10/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.2555\n",
      "acc: 95.273438%\n",
      "400/400 [==============================] - 122s - loss: 0.2552 - val_loss: 0.1843\n",
      "Epoch 11/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.2197\n",
      "acc: 96.875000%\n",
      "400/400 [==============================] - 121s - loss: 0.2194 - val_loss: 0.2090\n",
      "Epoch 12/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1821\n",
      "acc: 97.500000%\n",
      "400/400 [==============================] - 121s - loss: 0.1817 - val_loss: 0.1046\n",
      "Epoch 13/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1944\n",
      "acc: 96.953125%\n",
      "400/400 [==============================] - 121s - loss: 0.1941 - val_loss: 0.1578\n",
      "Epoch 14/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1926\n",
      "acc: 96.015625%\n",
      "400/400 [==============================] - 122s - loss: 0.1923 - val_loss: 0.2693\n",
      "Epoch 15/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.2545\n",
      "acc: 89.921875%\n",
      "400/400 [==============================] - 123s - loss: 0.2540 - val_loss: 0.3855\n",
      "Epoch 16/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1897\n",
      "acc: 97.304688%\n",
      "400/400 [==============================] - 122s - loss: 0.1894 - val_loss: 0.2283\n",
      "Epoch 17/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1752\n",
      "acc: 97.304688%\n",
      "400/400 [==============================] - 122s - loss: 0.1748 - val_loss: 0.1402\n",
      "Epoch 18/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1606\n",
      "acc: 96.679688%\n",
      "400/400 [==============================] - 121s - loss: 0.1605 - val_loss: 0.2509\n",
      "Epoch 19/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1894\n",
      "acc: 98.007812%\n",
      "400/400 [==============================] - 121s - loss: 0.1892 - val_loss: 0.1771\n",
      "Epoch 20/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1593\n",
      "acc: 97.929688%\n",
      "400/400 [==============================] - 122s - loss: 0.1589 - val_loss: 0.1671\n"
     ]
    }
   ],
   "source": [
    "h = model.fit_generator(gen(128), steps_per_epoch=400, epochs=20,\n",
    "                        callbacks=[evaluator],\n",
    "                        validation_data=gen(128), validation_steps=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.2262\n",
      "acc: 98.789062%\n",
      "400/400 [==============================] - 121s - loss: 0.2257 - val_loss: 0.1465\n",
      "Epoch 2/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1593\n",
      "acc: 98.828125%\n",
      "400/400 [==============================] - 120s - loss: 0.1591 - val_loss: 0.1196\n",
      "Epoch 3/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1542\n",
      "acc: 99.062500%\n",
      "400/400 [==============================] - 121s - loss: 0.1539 - val_loss: 0.1745\n",
      "Epoch 4/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1680\n",
      "acc: 99.062500%\n",
      "400/400 [==============================] - 122s - loss: 0.1677 - val_loss: 0.1950\n",
      "Epoch 5/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.2337\n",
      "acc: 98.906250%\n",
      "400/400 [==============================] - 123s - loss: 0.2331 - val_loss: 0.0965\n",
      "Epoch 6/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1449\n",
      "acc: 99.453125%\n",
      "400/400 [==============================] - 122s - loss: 0.1446 - val_loss: 0.1482\n",
      "Epoch 7/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1542\n",
      "acc: 99.257812%\n",
      "400/400 [==============================] - 122s - loss: 0.1547 - val_loss: 0.1371\n",
      "Epoch 8/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1529\n",
      "acc: 98.085938%\n",
      "400/400 [==============================] - 122s - loss: 0.1533 - val_loss: 1.2604\n",
      "Epoch 9/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1301\n",
      "acc: 99.570312%\n",
      "400/400 [==============================] - 122s - loss: 0.1299 - val_loss: 0.1802\n",
      "Epoch 10/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1462\n",
      "acc: 99.453125%\n",
      "400/400 [==============================] - 122s - loss: 0.1459 - val_loss: 0.2237\n",
      "Epoch 11/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1330\n",
      "acc: 98.828125%\n",
      "400/400 [==============================] - 122s - loss: 0.1328 - val_loss: 0.0800\n",
      "Epoch 12/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1428\n",
      "acc: 99.414062%\n",
      "400/400 [==============================] - 122s - loss: 0.1425 - val_loss: 0.0723\n",
      "Epoch 13/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.2372\n",
      "acc: 99.335938%\n",
      "400/400 [==============================] - 124s - loss: 0.2367 - val_loss: 0.1289\n",
      "Epoch 14/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1495\n",
      "acc: 99.140625%\n",
      "400/400 [==============================] - 122s - loss: 0.1492 - val_loss: 0.0897\n",
      "Epoch 15/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1348\n",
      "acc: 99.101562%\n",
      "400/400 [==============================] - 123s - loss: 0.1354 - val_loss: 0.1188\n",
      "Epoch 16/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1267\n",
      "acc: 99.453125%\n",
      "400/400 [==============================] - 122s - loss: 0.1275 - val_loss: 0.1471\n",
      "Epoch 17/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.2124\n",
      "acc: 99.335938%\n",
      "400/400 [==============================] - 124s - loss: 0.2135 - val_loss: 0.0415\n",
      "Epoch 18/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1320\n",
      "acc: 99.531250%\n",
      "400/400 [==============================] - 122s - loss: 0.1327 - val_loss: 0.1166\n",
      "Epoch 19/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1851\n",
      "acc: 97.343750%\n",
      "400/400 [==============================] - 123s - loss: 0.1847 - val_loss: 0.1708\n",
      "Epoch 20/20\n",
      "399/400 [============================>.] - ETA: 0s - loss: 0.1317\n",
      "acc: 99.570312%\n",
      "400/400 [==============================] - 123s - loss: 0.1315 - val_loss: 0.1130\n"
     ]
    }
   ],
   "source": [
    "model.compile(loss={'ctc': lambda y_true, y_pred: y_pred}, optimizer=Adam(1e-4))\n",
    "h2 = model.fit_generator(gen(128), steps_per_epoch=400, epochs=20, \n",
    "                        callbacks=[evaluator],\n",
    "                        validation_data=gen(128), validation_steps=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f2fce046590>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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G5JdW89OXvuWtn83scKbOgtV7+XJLPuBdoO13541vMcvM4TCkJ8WQnhTD1MGpnDepP2+v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\neraNJDYypIlXJIQQQghvSSaYEEIIIbxTsS/YDlNLp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238qXV4rSRJUh9Yg0nqLc8EkzRW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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2fce10ce50>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 266,
       "width": 608
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(h.history['loss'] + h2.history['loss'])\n",
    "plt.plot(h.history['val_loss'] + h2.history['val_loss'])\n",
    "plt.legend(['loss', 'val_loss'])\n",
    "plt.ylabel('loss')\n",
    "plt.xlabel('epoch')\n",
    "plt.ylim(0, 1)\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(evaluator.accs)\n",
    "plt.ylabel('acc')\n",
    "plt.xlabel('epoch')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zm0PobTsfuIdQvrZaKahtcvdqe+ycHqc3FM2/mnAQfKCZjXr+cV9byC7QjhooXEREptRM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\n6FwzDONeQ9RpokRLUl6K0FHUaQCQ9TmPdYKKMYY3leTs4nm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325yiJDXpx3+D+gui6hSl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\ncZ2dIqrOX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YQI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\nNKvR4rwMb9KG7hT7qle5bL99eQ4A0ObrsBWTXpfSteOu+X90Nd6btuV9Nu5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j6Ul/n783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kTKZtZA+LKeTxjp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\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1Vek0xytNUdPXl32vb2sPKerufuqnAOzqzoKcGmvCW2rfZScN2nbsfi8rlJmO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\nW4BtdXv9EvXtD25QOpd+wM/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3rX6Uxzj1Bs0b2nNrMffDMo6xx6M7ZXEr9rAA8N1/RWPD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\nnbcxSe8Ydu7FUmkDf3bYQDeW7mIVZ9Cntvb+HRpXVKrswrcDik9R0OW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4jlh1o1DZ3ius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\nAAAAAACA8gw+AQAAAAAAgPL+BWfmjOdEPqeLAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2fcdf82d50>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 458,
       "width": 927
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(X_vis, y_vis, input_length_vis, label_length_vis), _ = next(gen(12))\n",
    "\n",
    "y_pred = base_model.predict(X_vis)\n",
    "shape = y_pred[:,2:,:].shape\n",
    "ctc_decode = K.ctc_decode(y_pred[:,2:,:], input_length=np.ones(shape[0])*shape[1])[0][0]\n",
    "out = K.get_value(ctc_decode)[:, :4]\n",
    "\n",
    "plt.figure(figsize=(16, 8))\n",
    "for i in range(12):\n",
    "    plt.subplot(3, 4, i+1)\n",
    "    plt.imshow(X_vis[i].transpose(1, 0, 2))\n",
    "    plt.title('pred:%s\\nreal :%s' % (''.join([characters[x] for x in out[i]]), \n",
    "                                     ''.join([characters[x] for x in y_vis[i]])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 9s     \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.99460000000000004"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(X_vis, y_vis, input_length_vis, label_length_vis), _ = next(gen(10000))\n",
    "\n",
    "y_pred = base_model.predict(X_vis, verbose=1)\n",
    "shape = y_pred[:,2:,:].shape\n",
    "ctc_decode = K.ctc_decode(y_pred[:,2:,:], input_length=np.ones(shape[0])*shape[1])[0][0]\n",
    "out = K.get_value(ctc_decode)[:, :4]\n",
    "\n",
    "(y_vis == out).all(axis=1).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'0': 37, 'O': 14, 'Q': 1, 'T': 1, 'W': 1})"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from collections import Counter\n",
    "Counter(''.join([characters[i] for i in y_vis[y_vis != out]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "base_model.save('model.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(36, ' '),\n",
       " (0, '0'),\n",
       " (0, '0'),\n",
       " (36, ' '),\n",
       " (24, 'O'),\n",
       " (36, ' '),\n",
       " (36, ' '),\n",
       " (36, ' '),\n",
       " (0, '0'),\n",
       " (36, ' '),\n",
       " (36, ' '),\n",
       " (24, 'O'),\n",
       " (36, ' '),\n",
       " (36, ' '),\n",
       " (36, ' '),\n",
       " (36, ' '),\n",
       " (36, ' ')]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WRHVcY6vdZnk1t5He6O8NwOZVGyWJUZNGnzdEUYD1xxlxAAAAoAQMxAEAAIASMBAHAAAA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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2fcd791b90>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 203,
       "width": 369
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "characters2 = characters + ' '\n",
    "\n",
    "generator = ImageCaptcha(width=width, height=height)\n",
    "random_str = '0O0O'\n",
    "X_test = np.array(generator.generate_image(random_str))\n",
    "X_test = X_test.transpose(1, 0, 2)\n",
    "X_test = np.expand_dims(X_test, 0)\n",
    "\n",
    "y_pred = base_model.predict(X_test)\n",
    "shape = y_pred[:,2:,:].shape\n",
    "ctc_decode = K.ctc_decode(y_pred[:,2:,:], input_length=np.ones(shape[0])*shape[1])[0][0]\n",
    "out = K.get_value(ctc_decode)[:, :4]\n",
    "out = ''.join([characters[x] for x in out[0]])\n",
    "\n",
    "plt.imshow(X_test[0].transpose(1, 0, 2))\n",
    "plt.title('pred:' + str(out))\n",
    "\n",
    "argmax = np.argmax(y_pred, axis=2)[0]\n",
    "list(zip(argmax, ''.join([characters2[x] for x in argmax])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
